fsd.plot.covariance: Plot the autocovariance operator of functional spatial data

In kuenzer/fsd: Functional Spatial Data: Spatial Functional PCA

Description

This function is used to plot the autocovariance operator of functional spatial data along a two-dimensional plane of lags.

Usage

fsd.plot.covariance(
  X,
  basisobj = NULL,
  q = 0,
  gridsize = NULL,
  set.dims = NULL,
  plot.cor = FALSE,
  na.rm = FALSE,
  main = NULL,
  xlab = NULL,
  ylab = NULL,
  ...
)

Arguments

X	the functional spatial data. Either an fd object or an array.
basisobj	the basis of the functional data.
q	the maximal lag to be plotted.
gridsize	the resolution of the grid on which the kernel will be evaluated.
set.dims	the coordinates to be fixed. A vector of dimension r. NaN represents not fixed components.
plot.cor	a boolean indicating whether the correlation or the covariance should be plotted.
na.rm	whether or not missing values should be ignored.
main	title of the plot.
xlab	label for the x-axis.
ylab	label for the y-axis.
...	other arguments to pass to the plot function

See Also

fsd.plot.data

Examples

data("temp")
fsd.plot.covariance(temp, q = 3, plot.cor = TRUE, zlim = c(-1,1))

kuenzer/fsd documentation built on July 21, 2020, 1:57 p.m.